Bioinformatics Analyst

Brown Medicine • Cranston, RI

1d • $67,725 - $111,717 • Onsite

About The Position

Under the general supervision of the Bioinformatics Scientist, Department Manager, Laboratory Directors, and Pathologists, and in accordance with established policies and procedures, the Bioinformatics Analyst works independently in the Department of Pathology. The analyst performs clinical next-generation sequencing data analysis, contributes to the development of data analysis pipelines, and organizes and maintains databases. The role works closely with Bioinformatics Scientists, Medical Technologists, management, Laboratory Directors, and Pathologists, and requires independent work in a fast-paced, multidisciplinary environment. The analyst manages multiple clinical and development projects and refers complex matters requiring policy or procedure clarification to appropriate scientific and departmental leaders. Brown University Health employees are expected to model the organization's values of Compassion, Accountability, Respect, and Excellence.

Requirements

• Bachelor’s degree required.
• At least two years of industry or clinical laboratory experience.
• Strong scientific understanding of genomics.
• Proficiency in programming and scripting, such as Perl, Python, or Java.
• Knowledge of DNA-seq and RNA-seq data analysis tools, such as BWA, GATK, STAR, and Samtools.
• Knowledge of database and web-tool development, such as SQL, HTML, CSS, and Apache.
• Maintain up-to-date knowledge of bioinformatics data analysis tools.
• Excellent teamwork, time-management, and organizational skills.
• Ability to work independently in a fast-paced, multidisciplinary environment and manage multiple clinical and development projects simultaneously.
• Ability to operate equipment and instruments, perform procedures within the assigned laboratory section, and interpret results for accuracy.
• Physical and visual dexterity to conduct and interpret analysis; visual strain may occur while closely examining data.

Nice To Haves

• Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Familiarity with a CAP/CLIA laboratory setting; preferred but not required.
• Experience developing computational approaches for cancer genome and/or germline analysis is highly desirable.

Responsibilities

• Participate in the daily clinical bioinformatics workflow, including DNA-seq and RNA-seq data analysis.
• Analyze clinical data to validate new next-generation sequencing tests.
• Assist with preparing validation summaries for new next-generation sequencing tests.
• Assist in developing analysis pipelines for next-generation sequencing tests.
• Evaluate analytical aspects of emerging analysis methods.
• Assist in developing databases and web tools.
• Organize and maintain databases.
• Work independently within departmental policies and procedures, referring complex issues for clarification when needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level